fairing
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Deployer Pod in Crashloopbackoff
/kind bug
What steps did you take and what happened:
[A clear and concise description of what the bug is.]
Ran the foll. commands to setup prediction EP
fairing.config.set_deployer('serving', serving_class="HousingServe") create_endpoint = fairing.config.fn(HousingServe) create_endpoint()
Waiting for prediction endpoint to come up... is what was shown in the ipython terminal
Pod status was fairing-deployer-mcs6v-6ccc5f8698-b5dz2 0/1 CrashLoopBackOff
What did you expect to happen: Deployment to work, prediction EP to be created
Anything else you would like to add: [Miscellaneous information that will assist in solving the issue.] I'm trying it on baremetal, not GCP. Image has been built.
Environment:
Fairing version: (use python -c "import fairing; print(fairing.version)"): 0.5.3 Kubeflow version: (version number can be found at the bottom left corner of the Kubeflow dashboard): 0.5 Minikube version: NIL Kubernetes version: (use kubectl version): 1.12.5 OS (e.g. from /etc/os-release): Ubuntu 18.04
Deployer pod logs
kubectl logs -n xxx fairing-deployer-mcs6v-6ccc5f8698-b5dz2
Traceback (most recent call last):
File "/usr/local/bin/seldon-core-microservice", line 6, in
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Myself facing the above same issue ....help needed and getting below error too: ConnectionError: HTTPConnectionPool(host='35.244.60.154', port=5000): Max retries exceeded with url: /predict (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f12189590f0>: Failed to establish a new connection: [Errno 111] Connection refused',))
/priority p2 /area engprod